Analyst (Media)

Company description At Digitas, we harness the power of connection to make positive impact everyday. We have a relentless focus on creating connections to help our clients’ businesses grow, connecting diverse people, ideas and expertise in innovative and exciting ways. We are making positive impact with our amazing clients, through our capabilities in Consulting, Products & Platforms, Customer Engagement and Digital Media. Part of Publicis Groupe, and a Leader in Gartner’s Magic Quadrant for Global Marketing Agencies, we’re proud to work with some of the world’s leading brands. Digitas.

Experience the power of connection. Our Commitment Digitas is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation or gender identity. Overview We are hiring a Media Data Analyst to turn complex media data into meaningful insights for a major travel-industry client.

Joining Digitas’ Data & Analytics team, you’ll help shape campaign strategy, improve investment decisions and demonstrate the value of great media. This is an opportunity to combine analytical craft, practical experimentation and emerging technology while collaborating with media specialists, strategists and clients Responsibilities

Analyse campaign performance across media and analytics platforms, connecting results to measures such as reservations, cost of sale and return on advertising spend. Identify trends, audience behaviours and optimisation opportunities, clearly explaining what is driving changes in performance. Develop measurement approaches for regular reporting, test-and-learn activity and methods including marketing mix modelling, multi-touch attribution and incrementality.

Build clear dashboards and data stories that make complex findings accessible and useful to clients and internal teams. Automate data extraction, transformation and reporting processes using Python or R to improve reliability and efficiency. Translate analysis into practical recommendations for media planning, targeting, campaign adjustments and budget allocation.

Coordinate testing programmes, maintain high standards of data quality and explore valuable applications of AI and machine learning in media analytics.

Skills we're looking for: Experience analysing data in a media agency, advertising platform, client media team or another relevant environment. A sound understanding of media channels, terminology and performance measures, including paid search, paid social, programmatic, video and connected TV. The ability to develop and adapt measurement frameworks, with an understanding of approaches such as marketing mix modelling, multi-touch attribution and incrementality. Practical experience extracting and manipulating data, ideally using Python, APIs and libraries for analysis or modelling.

Confidence using Excel and a visualisation platform such as Power BI, Tableau or Google Data Studio. Clear communication and data-storytelling skills, with the ability to make technical findings useful to different audiences. A curious, collaborative approach, strong attention to data accuracy and the ability to prioritise multiple deliverables effectively.

Digitas offers a wide range of benefits to support our employees. Full details are shared when you join, but highlights include core benefits such as Pension, Life Assurance, and Private Medical cover, alongside enhanced policies like Reflection Days and Shared Parental Leave. You’ll also have access to a range of additional initiatives, including: 📖 Please check out the Publicis Career Page which showcases our Inclusive Benefits and our EAG’s (Employee Action Groups). Publicis Groupe works primarily from the office or our clients' office four days per week.

At Digitas, we are proud to be an equal opportunities employer. We welcome and encourage applications from people of all backgrounds, and do not discriminate on the basis of race, ethnicity, nationality, religion or belief, disability, age, citizenship, relationship status, sexual orientation, gender identity, or any other protected characteristic. We are committed to providing a fair, accessible, and inclusive recruitment process. If you have any access needs

• for example, related to disability, neurodivergence, or a health condition
• please let us know. We’ll work with you to ensure the process works for you. Sharing this information will never impact your application. Guided by our values, we listen with empathy, uplift each other, take responsibility, and embrace change
• building a culture where everyone feels seen, respected, and genuinely included. #LI-TT1

Analyse campaign performance across media and analytics platforms, connecting results to measures such as reservations, cost of sale and return on advertising spend. Identify trends, audience behaviours and optimisation opportunities, clearly explaining what is driving changes in performance. Develop measurement approaches for regular reporting, test-and-learn activity and methods including marketing mix modelling, multi-touch attribution and incrementality.

Build clear dashboards and data stories that make complex findings accessible and useful to clients and internal teams. Automate data extraction, transformation and reporting processes using Python or R to improve reliability and efficiency. Translate analysis into practical recommendations for media planning, targeting, campaign adjustments and budget allocation.

Coordinate testing programmes, maintain high standards of data quality and explore valuable applications of AI and machine learning in media analytics. Skills we're looking for: Experience analysing data in a media agency, advertising platform, client media team or another relevant environment. A sound understanding of media channels, terminology and performance measures, including paid search, paid social, programmatic, video and connected TV.

The ability to develop and adapt measurement frameworks, with an understanding of approaches such as marketing mix modelling, multi-touch attribution and incrementality. Practical experience extracting and manipulating data, ideally using Python, APIs and libraries for analysis or modelling. Confidence using Excel and a visualisation platform such as Power BI, Tableau or Google Data Studio. Clear communication and data-storytelling skills, with the ability to make technical findings useful to different audiences.

A curious, collaborative approach, strong attention to data accuracy and the ability to prioritise multiple deliverables effectively.

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